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### Rationale for this change The current parquet section is one-page and covering lots of topics. As per https://github.com/apache/arrow/issues/46601 the parquet section is most visited and would therefore need a bit of maintenance/content update. ### What changes are included in this PR? - Parquet documentation is split in 4 different subpages (index.rst, parquet.rst, parquet_datasets.rst and parquet_encryption.rst). - Some additional content is added ### Are these changes tested? Via the docs preview ### Are there any user-facing changes? No * GitHub Issue: #47686 Lead-authored-by: AlenkaF <frim.alenka@gmail.com> Co-authored-by: Alenka Frim <AlenkaF@users.noreply.github.com> Co-authored-by: Adam Reeve <adreeve@gmail.com> Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Signed-off-by: AlenkaF <frim.alenka@gmail.com>
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.. Licensed to the Apache Software Foundation (ASF) under one
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.. or more contributor license agreements. See the NOTICE file
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.. distributed with this work for additional information
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.. regarding copyright ownership. The ASF licenses this file
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.. to you under the Apache License, Version 2.0 (the
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.. "License"); you may not use this file except in compliance
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.. with the License. You may obtain a copy of the License at
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.. http://www.apache.org/licenses/LICENSE-2.0
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.. Unless required by applicable law or agreed to in writing,
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.. software distributed under the License is distributed on an
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.. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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.. KIND, either express or implied. See the License for the
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.. specific language governing permissions and limitations
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.. under the License.
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.. _python:
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Python
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======
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PyArrow - Apache Arrow Python bindings
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--------------------------------------
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This is the documentation of the Python API of Apache Arrow.
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Apache Arrow is a universal columnar format and multi-language toolbox for fast
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data interchange and in-memory analytics. It contains a set of technologies that
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enable data systems to efficiently store, process, and move data.
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See the :doc:`parent documentation <../index>` for additional details on
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the Arrow Project itself, on the Arrow format and the other language bindings.
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The Arrow Python bindings (also named "PyArrow") have first-class integration
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with NumPy, pandas, and built-in Python objects. They are based on the C++
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implementation of Arrow.
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Here we will detail the usage of the Python API for Arrow and the leaf
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libraries that add additional functionality such as reading Apache Parquet
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files into Arrow structures.
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.. toctree::
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:maxdepth: 2
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install
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getstarted
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data
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compute
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memory
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ipc
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filesystems
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numpy
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pandas
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timestamps
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parquet/index
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dataset
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csv
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orc
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feather
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json
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flight
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extending_types
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interchange_protocol
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dlpack
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integration
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env_vars
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api
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getting_involved
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Python cookbook <https://arrow.apache.org/cookbook/py/>
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